iamharshverma
Passionate about building intelligent machines. AI, Machine Learning, Big Data Science, Data Driven Development
Palo Alto NetworksSan Francisco, CA
iamharshverma's Stars
sharovatov/teamlead
Pragmatic humanist's thoughts on sociotechnical systems.
VGraupera/1on1-questions
Mega list of 1 on 1 meeting questions compiled from a variety to sources
ryanburgess/engineer-manager
A list of engineering manager resource links.
ivan-bilan/The-Engineering-Manager-Pandect
A comprehensive reference for all topics related to becoming a great Engineering Manager
kdeldycke/awesome-engineering-team-management
👔 How to transition from software development to engineering management
jesselpalmer/the-engineering-managers-booklist
Books for people who are or aspire to manage/lead team(s) of software engineers
grok-ai/nn-template
Generic template to bootstrap your PyTorch project.
iamharshverma/PySparkStreaming-MultiNewsClassification
The Program trains a pyspark MLLib Pipeline model with Tokenizer, stop word remover, Labialize, TF-IDF, vectorizer and two classifiers i.e. Logistic Regression and Naïve Bayes. Then it compares result of both classifier(Logistic and Naïve Bayes) on spark streaming data for multiple news type classification.
imkgarg/Awesome-Software-Engineering-Interview
udacity/nd027-c3-data-lakes-with-spark
Rikkraan/kubernetes-flask-mysql
Deploy a MySQL server and build a Flask API in kubernetes
shashank88/system_design
Preparation links and resources for system design questions
GSNCodes/Customising-your-models-with-TensorFlow-2-Coursera
axsaucedo/seldon_experiments
ChoudharyChanchal/game_control
glennford49/Pose_Estimation
GSNCodes/Getting-started-with-TensorFlow-2-Coursera
ahmadmustafaanis/Getting-Started-with-Tensorflow-2
Understand Tensorflow 2.0 step by step. Well Written and Commented for Anyone to learn tf2. Check out the Markdowns for every folder.
SullyChen/Autopilot-TensorFlow
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
claimed-framework/component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
vijishmadhavan/Toon-Me
A Deep Learning project to Toon Portrait Images
eladrich/pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
adamian98/pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
veeral-patel/how-to-secure-anything
How to systematically secure anything: a repository about security engineering
gordicaleksa/java-algorithms-implementation
Algorithms and Data Structures implemented in Java
SeldonIO/alibi-detect
Algorithms for outlier, adversarial and drift detection
SeldonIO/alibi
Algorithms for explaining machine learning models
fastai/fastbook
The fastai book, published as Jupyter Notebooks
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning